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Criterio di rottura di Hoek-Brown×Lerchs-Grossmann Algorithm×Ottimizzazione del layout delle cave sotterranee×
CampoIngegneria minerariaIngegneria minerariaIngegneria mineraria
FamigliaProcess / pipelineProcess / pipelineProcess / pipeline
Anno di origine198019651960
IdeatoreEvert Hoek and E. T. BrownHelmut Lerchs and Israel GrossmannMining Engineering Practice
TipoEmpirical criterion for rock mass strength predictionGraph-theoretic algorithm for pit limit optimizationOptimization framework for underground mine excavation design
Fonte seminaleHoek, E., & Brown, E. T. (2002). The Hoek-Brown failure criterion and GSI: 2018 update. Journal of Rock Mechanics and Geotechnical Engineering, 10(2), 445-463. link ↗Lerchs, H., & Grossmann, I. F. (1965). Optimum design of open-pit mines. Canadian Mining and Metallurgical Bulletin, 58(633), 47-54. link ↗Brady, B. H. G., & Brown, E. T. (2004). Rock mechanics for underground mining. Springer Science+Business Media. link ↗
AliasGeneralized Hoek-Brown Criterion, HB CriterionLerchs-Grossmann Method, LG AlgorithmStope Design, Underground Mine Layout, Panel Design
Correlati343
SintesiThe Hoek-Brown Criterion, developed by Evert Hoek and E. T. Brown starting in 1980, is an empirical failure criterion that predicts the shear strength of rock masses as a function of confining pressure. It accounts for rock quality (via the Geological Strength Index, GSI) and thus bridges laboratory rock mechanics and field behavior. The criterion is widely used in mining for slope stability, pillar design, and stress analysis.The Lerchs-Grossmann Algorithm is a graph-theoretic method for determining the ultimate pit limit in open-pit mining operations. Introduced by Helmut Lerchs and Israel Grossmann in 1965, it maximizes the net present value of extracted ore while respecting slope stability constraints. This algorithm forms the theoretical foundation for most modern pit optimization software.Stope layout optimization is the process of designing the size, shape, and spatial arrangement of underground mine excavations (stopes) to maximize ore recovery while maintaining safety and economic viability. It balances the desire for large extraction volumes against rock mechanics constraints and support costs. The layout determines mining productivity, capital investment in support systems, and long-term mine life.
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ScholarGateConfronta i metodi: Hoek-Brown Criterion · Lerchs-Grossmann Algorithm · Stope Layout. Consultato il 2026-06-18 da https://scholargate.app/it/compare